{"id":"W6910451429","doi":"10.4224/40002972","title":"Transport Canada/LookNorth detect and avoid flight trials 2020/2021","year":2022,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Leverage (statistics); Reliability (semiconductor); Test (biology); Flight test; Process (computing); Instrumentation (computer programming); Limiting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00479,0.001057765,0.0003973483,0.001437097,0.003208796,0.00333429,0.00190111,0.001989689,0.07990955],"category_scores_gemma":[0.003932673,0.0005704965,0.0005393879,0.001033357,0.001058356,0.001027196,0.001195025,0.001650961,0.02434805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01654699,"about_ca_system_score_gemma":0.06140631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7892424,"about_ca_topic_score_gemma":0.8998798,"domain_scores_codex":[0.9946796,0.0003016069,0.00008650253,0.0001944155,0.004119892,0.0006178423],"domain_scores_gemma":[0.9897142,0.0003899744,0.0002219614,0.0003748513,0.008075292,0.001223797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006458958,0.0003879687,0.003434391,0.0003125984,0.00002616615,0.0002447301,0.0002035108,0.00179627,0.006217817,0.005213363,0.9214231,0.06009418],"study_design_scores_gemma":[0.00015864,0.0003288731,0.007407455,0.0001249875,0.00001540579,0.00007834796,0.0004856431,0.001186057,0.005589475,0.0006024654,0.9839773,0.00004544246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0300282,0.002010952,0.01259505,0.01312527,0.001984294,0.006385428,0.09836722,0.004086574,0.831417],"genre_scores_gemma":[0.07008779,0.001506416,0.01846289,0.004536027,0.0001352932,0.001995916,0.07966584,0.001626205,0.8219836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2107576,"threshold_uncertainty_score":0.4239976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03963611348136464,"score_gpt":0.2823600496854325,"score_spread":0.2427239362040678,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}